OFDM

《matlab统计分析与应用：40个案例分析》一书的全部代码(Matlab statistical analysis and application: 40 case studies of a book all the code)

利用matlab进行的人脸识别系统，方法很好很实用(Very good practical face recognition system using matlab)

After identifying the best MNT− 1 nodes with the simplified branch metric and the accumulated branch metric at stage NT − 1, we then calculate the LLR of each coded bit utilizing the standard squared Euclidian distance metric. The log-likelihood ratio (LLR) of a posteriori probability (APP) of each coded bit conditioned on the received signal y is normally calculated using the max-log approximation.

计算Lyapunov指数的Wolf算法，本算法为Matlab(Calculation of Lyapunov index Wolf algorithm, the algorithm for Matlab)

船舶电力推进系统的电磁场时域有限差分算法(Marine electric propulsion system of electromagnetic fields finite difference time domain algorithm)

差集天线阵列分析\方向图、二维图、三维图(difference sets)

说明：  两电平SVPWM整流器控制，dp解耦，双闭环，C语言，锁相环(Two level SVPWM rectifier control)

针对较大阶跃响应产生超调问题的步进式PID控制程序(Have a step response for a larger overshoot of the step-by-step questions PID control procedures)

A general technique for the recovery of signicant image features is presented. The technique is based on the mean shift algorithm, a simple nonparametric pro- cedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Feature space of any nature can be processed, and as an example, color image segmentation is dis- cussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro- vide, by extracting all the signicant colors, a prepro- cessor for content-based query systems. A 512  512 color image is analyzed in less than 10 seconds on a standard workstation. Gray level images are handled as color images having only the lightness coordinate(A general technique for the recovery of sig ni cannot image features is presented. The techni que is based on the mean shift algorithm, a simple nonparametric pro-cedure for estimat ing density gradients. Drawbacks of the curren t methods (including robust clustering) are av oided. Feature space of any nature can be proces sed, and as an example, color image segmentation is dis-cussed. The se gmentation is completely autonomous. only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or pro-vide. by extracting all the signi cannot colors, a prepro- cessor for content-based query syste ms. A 512,512 color image is analyzed in less than 10 seconds on a standard workstation. Gray 4ISR l images are handled as color images having only the lightness c)

matlab白黑度测试代码，，输出时间响应方程(White blackness matlab test code, the output time response equation)